Corporate Google Cloud Platform Training Course

1. Basics of GCP
   • Cloud computing concepts and advantages
   • Overview of Google Cloud products and its services
2. Google Global infrastructure
   • Data centers and regions
   • Zones and availability
3. Storage, Networking, compute, Machine Learning products
   • Overview and use cases of GCP services
4. Availability zones and project structures
   • Creation and management of projects on GCP
   • Project organization and project hierarchy

1. Introduction to Google Cloud services
   • Overview of major services such as App Engine, Compute Engine, BigQuery, etc.
2. Google services Management
   • Command-line tools and usage
   • Working with the GCP Console and Cloud SDK
3. Installing and configuring SDK
   • Setting up the development environment
4. Deployment of Cloud Shell for GCP environment management
5. Deployment of  Gsutil for storage management
   • Gsutil: Uploading and downloading files

1. Overview of Google computing services
   • Kubernetes Engine, Compute Engine, App Engine, etc.
2. Creation and Management of virtual machines
   • Setting up virtual machines
   • Management of machine types, disks, and images
3. Google Compute Engine: Launching VMs on-demand
   • Creation and configuration of instances
   • Scaling instances and autoscaling
4. Selecting the suitable computing solutions
   • Comprehending workload requirements (CPU, memory, etc.)
   • Finding the appropriate options for computing

1. Different storage services 
   • Cloud SQL, Cloud Storage, Cloud Bigtable, etc.
2. Data storing and retrieving in the cloud
   • Uploading, managing, and accessing data
3. Rich content management
   • Static and dynamic website content: storing and serving 
4. Selecting the suitable storage options
   • Evaluation of storage options based on use cases
5. Integrating on-premises
   • Connection and synchronization of on-premises data
6. Nearline and Coldline storage
   • Comprehending storage options: archival and long-term 
7. Cloud Datastore
   • NoSQL data storage: Overview and usage of Cloud Datastore
8.  Cloud storage management using Gsutil
   • Gsutil command-line tool: performing storage operations

1. Deployment for developing applications
   • APIs: application development and integration
2. Finding the suitable data storage for application data
   • Data storage options: evaluating for specific application needs
3. Automating infrastructure
   • Infrastructure-as-code and automation tools utilization
4. API Management
   • API management and configuration
5. Cloud Source
   • Cloud Source repositories for version control
6. Functions and special APIs
   • Specialized APIs: Exploring for specific use cases
7. Cloud Launcher and Deployment Manager: Implementation and configuration
   • Deployment of applications and management of infrastructure using templates
8. Application deployment
   • Deployment of applications: Google Cloud Engine 

1. Introduction to Google networking
   • Networking concepts
2. Google network: Setting up
   • Creation and configuration of Virtual Private Cloud (VPC)
   • IP ranges and subnets: Definition
3. Connecting GCP resources
   • Network interfaces and routes
   • Creation and management of  virtual private networks
4. Firewalls and network policies: Isolation 
   • Configuring firewall rules and policies for network security
5. Creation and Management of  Virtual Private Networks (VPNs)
   • site-to-site VPNs and direct peering Configuration
6. Cloud routers and interconnecting networks
   • Routing data across networks and regions

1. Different security and identity and access management (IAM) services
   • Overview of IAM and security services in Google Cloud
2. Various roles in IAM
   • Understanding predefined roles and their permissions
3. Creating and managing Google resource permissions
   • Granting and revoking access to Google Cloud resources
4. IAM APIs
   • Managing IAM through APIs and programmatic access
5. Custom roles’ creation
   • Creating custom roles with specific permissions
6. Resources and isolation sharing
   • Sharing resources across projects and organizations
7. Deployment of penetration testing, security controls and auditing
   • Conducting security assessments and implementing security measures

1. How to migrate to Google Cloud: a complete comprehension 

• Migration strategies and its best practices

2. Different criteria

• Assessment of workloads, feasibility and dependencies

3. Finding the suitable options according to specific needs

• Evaluating migration methods (re-architecting, lift-and-shift, etc.)

4. Hybrid cloud model Management

• Integration of on-premises and cloud environments

5. On-premises model to the cloud: a complete migration

• Full migration: the plan and execution

6. Resource provisioning: finding an automation framework

• Migration: Implementation of automated resource provisioning